{"id":"W1824490275","doi":"10.1109/ultsym.1990.171543","title":"High resolution deconvolution using least-absolute-values minimization (US NDE)","year":2002,"lang":"en","type":"article","venue":"IEEE Symposium on Ultrasonics","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; CANDU Owners Group","keywords":"Deconvolution; Minification; Impulse response; Blind deconvolution; Computer science; Norm (philosophy); Algorithm; Impulse (physics); Nondestructive testing; Acoustics; Mathematics; Mathematical optimization; Physics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002042641,0.0003679999,0.0002871576,0.0002048342,0.000232389,0.0001023889,0.0002018481,0.0002911358,0.0001185334],"category_scores_gemma":[0.00008742281,0.000367428,0.0001199461,0.0003926966,0.00006984015,0.0003680847,0.00001159535,0.0002683006,0.00018649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006003606,"about_ca_system_score_gemma":0.00002424778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004160668,"about_ca_topic_score_gemma":0.00001443339,"domain_scores_codex":[0.9979782,0.00007017326,0.0005117872,0.0004375247,0.0004336198,0.0005687441],"domain_scores_gemma":[0.9990175,0.0001551401,0.0001329742,0.0004102116,0.0001354941,0.0001486371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001396747,0.00008871372,0.000108486,0.0000471834,0.000042139,0.000003449584,0.0001409396,0.7708247,0.2244534,0.0004162683,0.002230924,0.001629824],"study_design_scores_gemma":[0.0007294028,0.0001412871,0.0005896888,0.0001507118,0.00009241976,0.00003072739,0.00002829749,0.9617903,0.03454019,0.0002306516,0.001162592,0.0005137667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8532537,0.0004651152,0.1407439,0.0002629143,0.002863029,0.0004137672,0.00007469942,0.0007151727,0.001207692],"genre_scores_gemma":[0.9911377,0.001367315,0.006578083,0.0000849168,0.0003978309,0.00002001598,0.00004203156,0.0001042353,0.000267865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1909656,"threshold_uncertainty_score":0.9998778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633574881706911,"score_gpt":0.2097302887850374,"score_spread":0.1933945399679683,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}